ml-algorithms-from-scratch

Developing multiple ML algorithms from scratch using only libraries like NumPy and PyTorch

Algorithms Implemented

Linear Regression
- Cost function (MSE)
- Gradient Descent Optimization
Logistic Regression
- Sigmoid activation
- Binary classification
- Loss computation and weight updates
K-Means Clustering
- Random centroid initialization
- Iterative cluster assignment and centroid updates
Naive Bayes
- Gaussian Naive Bayes classifier
- Prior and likelihood calculation

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Linear Regression		Linear Regression
Logistic Regression		Logistic Regression
K-Means Clustering.py		K-Means Clustering.py
LICENSE		LICENSE
NaiveBayes.py		NaiveBayes.py
NeuralNetwork.py		NeuralNetwork.py
README.md		README.md
main.py		main.py